{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_price = [190.64, 190.09, 192.25, 191.79, 194.45, 196.45, 196.45, 196.42, 200.32, 200.32, 200.85, 199.2, 199.2, 199.2, 199.46, 201.46, 197.54, 201.12, 203.12, 203.12, 203.12, 202.83, 202.83, 203.36, 206.83, 204.9, 204.9, 204.9, 204.4, 204.06]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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N4Z63lvPw7HJeeaiEgX1yOefQYZxfPJyxraxiHCUlEhHpFhrX15rWwoOsurpeOVl886RxfP34fXnj4w08WbKK+2Ys5+43yzhkZH/OLx7BFw4aSl6P7ITGpUQiIt3C7LIqJg7JY2Cf3GSH0mFZmRmctN9gTtpvMBu31/Kn99bwh3dX8d1n5vOjFxYyfdJQzi8eweGjCxIyuVGJRETSXm1dPe+u2MSFh6XfKhcD++Ry9TFjuOro0by/egtPlqzihXlreWbuGooG9OJn5x4U+V2YEomIpL33V22hZk8DR6Zg/0hbmRmTR/QPRnZ9fn/+trCCJ99dzT79ekZ+biUSEUl7M5dtxAwOH52+iSRWz5xMvnjIcL54yPCEnE/Df0Uk7c1cVsWB+/SjX6/EdkJ3F0okIpLWdu2uZ97KzWndrJVsSiQiktZKy6vZXd/ANCWSyCiRiEham1W2kawM47BRiVlWpDtSIhGRtDZzWRUHDe9Hn1yNLYqKEomIpK31W2v4YPWWdj1WV9pOKVpE0k5dfQMPzy7ntpc/JsPgtAOHJDuktKZEIiJpZU5ZFT98fiGL123jmHEDufnMA9i3sE+yw0prSiQi8om/fFDBs++t7vR6B/XtwWkHDOGIfQeQnRlNi3rl1hr++8VF/GneWob178ldlxzK5w4YkpC1pro7JRIRAaBmTz0/fH4BAIP7dt5zwt2DDu/H5qykX89sTtl/MNMnDeGosQPJzcrscP176ht44O0V/O8/PmZPvfNvJ47l68ePpWdOx+uWtlEiEREAnp+3lo3bd/Po1Ydz1NjO7Zyu2VPPmx9v4G8L1vHSwnU8VbqavNwsTtpvEKcdOJTjJxTSI3vvP/hnLt3Ifz2/kKWV2zlhQiE/POMARg3s3amxS+uUSEQEd+eeGWVMHJIXyQzwHtmZnHrAEE49YAi1dfXMXFrFXxdU8PcP1/OneWvplZPJCRMGceoBg8nvldNqfQ3u/LF0NX/5oIIRBT2557JiTt5/cKfHLW2jRCIizFi6kY/Xb+cX5x0ceZ9CblYmJ0wcxAkTB/HT+gbmlG3ixQUV/H3hOv4yv2Iv6sng+pPH89XjxrTrbkY6T2SJxMxGAA8BQ4AG4G53v8PMCoA/AKOAFcD57l5tZhcD3wkP3w78q7u/30y9DwDHAVvCTVe4+7yorkOkO7jnreUU5uVyxsFDE3re7MwMjh43kKPHDeT/nXUgiyq2UltX36ZjRxT0YlBe5/XlSPtFeUdSB3zb3eeaWR5QamYvA1cAr7j7LWZ2E3ATQQJZDhwXJpXTgbuBw+PUfaO7PxVh7CLdxsfrt/HGxxv491PHd0rnd3tlZhgHDuuXtPNL+0U2s93dK9x9bvh6G7AIGAacBTwYFnsQODssM9Pdq8Pts4HELKQv0s3dN2M5uVkZ/MvhRckORVJUQpZIMbNRwCHAHGCwu1dAkGyAQc0cchXw1xaq/KmZfWBmt5tZsw9gNrNrzKzEzEo2bNjQofhF0lXV9lqeeW8N504ZTkHv1ju5RZoTeSIxsz7A08B17r61DeVPIEgk34lT5LvAROAwoCBeOXe/292L3b24sLCwXbGLpLtHZq9kd10DVx41OtmhSAqLNJGYWTZBEnnU3Z8JN683s6Hh/qFAZUz5g4B7gLPcvaq5OsMmM3f3WuB+YGqU1yCSrmr21PPw7BWcOHEQYwdpCRFpv8gSiQVjCO8FFrn7bTG7ngcuD19fDjwXlh8JPANc6u4ft1BvYxIygv6VBZ0fvUj6a5yAeNXRuhuRjoly1NZRwKXAfDNrHJ77PeAW4EkzuwpYCZwX7vsvYADw23Ace527FwOY2YvA1e6+FnjUzAoBA+YBX4vwGkTSUtQTEKV7iSyRuPsMgg/75pzUTPmrgavj1DU95vWJnRKgSDeWyAmIkv70YCuRbihZExAlPSmRiHQzjRMQL5tWlNQJiJI+lEhEupnGCYgXT9MEROkcSiQi3chGTUCUCCiRiHQjj2oCokRAiUSki9ld1xBJvY0TEE+YUKgJiNKplEhEupCllds56Ecv8daSzl8frnEC4tXHjOn0uqV7UyIR6ULunbGcmj0NvP5R5yYSTUCUKCmRiHQRVdtreWbuagBKy6tbKb133loSTEC8+pgxmoAonU6JRKSLeHTOSmrrGjhl/8EsXLuFmj1te1JgW9w7QxMQJTpKJCJdQG1dPQ/NKuf4CYVcUDyCPfXO/DVbWj+wDVZW7dQERImUEolIFxB0hNdy9dFjOLQoH+i85q23l20EYPpBuhuRaES5+q+ItIG7c++M5UwcksdRYwdgZowZ2LvTEsnssioG9sllzMDenVKfSFO6I5GUtX5rDTc8OY9vPv4e7p7scNrt7aVVLF63jauOHv1JR/ihRfnMLa/u8HW5O3PKNjFtTIE62SUySiSScnbXNfC7N5Zx4i9e59n31vD8+2t5aeH6ZIfVbvfMKGNgn1zOnLzPJ9umFOVTtWM3K6p2dqju8qqdrNtaw+FjNORXoqNEIillxpKNnH7Hm/zPXxdzxL4DeOWG4xg7qA+3vrSYuvpoZoRHaWnlNl7/aAOXHfHpjvApndRPMmd58MTqI8YUdKgekZYokUhKWLt5F19/tJRL7p1DXYNz3xXF3HP5YYwp7MN/fG4CZRt28MfS1ckOc6/dO2NFsBLv4SM/tX1sYR/69sjqcCKZXbaJgX1y2LdQS6JIdNTZLl1abV0997y1nF+/uhTH+fYp4/nKsWPokf3Pb++n7D+YKUX53P7yx5w9eRg9c1JjiGvjBMRzDh3OgD65n9qXkWGf9JO0V9A/UsXhoweof0QipTsS6bJe/6iS0/73LX7+0kccO34g/7jhOP7tpHGfSiIAZsZNp0+kclst9729PEnR7r3GCYhXHT2q2f1TRubzceU2tuza0676V23axdotNRyuZi2JmO5IJGFmLavijyWr2lR23dYaZi6rYszA3jx45VSOG1/YYvnDRhVw8n6DuOuNZfzL1JHkd/FnbdTsqeehWSs4fkIhYwflNVtmSlE+7jBv1eZWr785s8P+kWnqaJeIKZFIwvzmtaW8u2ITg/rmtlo2OyOD/zhtAlcdPbrNs7Fv/NxETr/jTX77+lK+//n9OxpupJ5/P1yJ9+j4K/EePKI/GRZ0uLcrkZRVUdA7h3FaMl4iFlkiMbMRwEPAEKABuNvd7zCzAuAPwChgBXC+u1db0Ih7BzAd2Alc4e5zm6l3CvAA0BN4EfiWp/Ikgm6ivsF5b2U15xUP5ydnT4rkHBOG5HHuocN5cGY5lx85iuH5vSI5T0e5O/fFTECMp3duFvsN7dvufpI5ZZs4fLTmj0j0ouwjqQO+7e77AdOAa81sf+Am4BV3Hwe8Ev4NcDowLvy5BrgzTr13hvsby54W2RVIp/lo3TZ27K6nuCja9vrrTxkPBre/vCTS83REcxMQ45lSlM97K6upb9i770qrNu1kzeZdataShIgskbh7ReMdhbtvAxYBw4CzgAfDYg8CZ4evzwIe8sBsoL+ZfWpxoPDvvu4+K7wLeSjmeOnCSss3Af+cHxGVffr35MtHjuKZ91azeN3WSM/VXs1NQIxnSlE+O3bX89G6bXt1jtllQf+IOtolERIyasvMRgGHAHOAwe5eAUGyAQaFxYYBsT2xq8NtsYaF21sq03jOa8ysxMxKNmzo/KfNyd4pLa+mMC+X4fk9Iz/Xvx6/L3m5Wdz6t48iP9feWrK++QmI8Rw6MpyYuHLvmrfmLN9Efq9sxsfpyBfpTJEnEjPrAzwNXOfuLX1FbO4ev+n9fFvKBBvd73b3YncvLizc+45K6VylK6spLspPSHt9/145fP2Esby6uPKTb+ZdxX1vL292AmI8w/N7Migvd6/7SWaXVTF1dAEZGeofkehFmkjMLJsgiTzq7s+Em9c3NlmFvyvD7auBETGHDwfWNqlydbi9pTLSxVRurWHVpl2RN2vFuuLIUQzp24Nb/rq4yyzoGExAXNPsBMR4zIwpRfl7NcN9dfVOVlerf0QSJ7JEEo7CuhdY5O63xex6Hrg8fH058FzM9sssMA3Y0tgE1ij8e5uZTQvrvyzmeOmiGj8ED01gIumRnckNp4xn3qrNvLRwXcLO25LWJiDGM6Uon5WbdlK5raZN5eeUBf1RSiSSKG1KJGY2yczOC38ObGPdRwGXAiea2bzwZzpwC3CKmS0BTgn/hmAobxmwFPg98PWY88+LqfdfgXvCcsuAv7YxHkmS0vJqcrIyOHCffgk97zmHDmPcoD7c+tJHSV/QsS0TEONpTMBzyze3qfyc5VX075XNhMHqH5HEaHEeiZn1I/jGPwL4gKCPYpKZrQTOaqnPw91n0HyfBsBJzZR34No4dU2OeV0CtDWZSRdQUl7NwcP7kZOV2BV5sjIzuPFzE7jm4VL+WLqai6a2rV+is23ZtYd7ZyxvdQJiPAfs05ecrAzmrqzmtAOHtFp+dtkmpo5S/4gkTmsTEv8fUAKc6O4NAGaWQXAX8VPg36INT1JdzZ56Fq7dwpVHj07K+ZOxoKO7s6RyO68uruTVxZWUlgfzQKaOKmhxAmI8uVmZHDSsX5v6SdZu3sXKTTu5/MhR7YhcpH1aSyQnAwc1JhEAd28ws+8B8yONTNLC/DVb2FPvkU9EjKdxQcfz7prFfW8v59oTxkZynpo99cxctpFXF1fy2uINrNm8C4CJQ/L46rFjOHHiIA4Z2f5Ra1OK8rn/7RXU1tW3OGx4zifra2n+iCROa4lkt7vXNd3o7nVmVhtRTJJGSlaEHe0j+ycthmBBx8Hc9foy+vbIgk4cglyzO0ggM5dVUVvXQM/sTI4aO5BrTxjLCRMLGdqvc+bNHFqUz+/eLGPBmq0tjn6bvWwTfXtkMXFI3045r0hbtJZIepjZIXy2r8OAto1flG6ttLya0QN7t3m4a1S+c9oEzrlzJv/53MJOr3tkQS8umjqSEyYO4vDRBZ9Z5r4zNE5MnFte3WIimbO8iqmjB5Cp/hFJoNYSyTrgthb2icTl7sxdWc2JEwe1Xjhi4wbnMed7J7Gjtr5T683MMPJ7ZUc+0bIwL5eiAb0oLa/mK3HKrNtSw4qqnVwyrSjSWESaajGRuPvxCYpD0tDyjTvYtGN3QicitqRXTha9clL3yQlTRubz1tKNuHuziWuOnj8iSdLieEwzO8zMhsT8fZmZPWdm/xcuBy8SV+Moo66SSFLdoUX5bNhWy+rqXc3un11WRV6PYOl5kURqbWD/74DdAGZ2LMGw34eALcDd0YYmqW7uymr69shibKEerNQZGhNyvGHAc8L5I+ofkURrLZFkuvum8PUFBA+netrd/xOIZhylpI2SFdUcWpSviXGdZPzgPPJysygp3/SZfeu31lC2cYeatSQpWk0kZtbYqHwS8GrMvtRtbJbIbdm5hyWV2ylWs1anycwwJo/sT2kzS6Xo+SOSTK0lkseBN8zsOWAX8BaAmY0laN4SadbcVYlfqLE7mFKUz0frtrKtZs+nts9Zvom83Cz2V/+IJEGLicTdfwp8m+AZ6UfHPBs9Ay2PIi0oXVEdfIMekbyJiOloSlE+DQ7vr/r097jZZVUUj8onKzOx65mJQOujtgqAj4E3gFwzyzczc/ePGx+jK9Kc0vJq9h/aN6WH23ZFk0f0x+zTHe6V22oo26D+EUme1v6Vl/LPJxA29pj2MbP3gavdfUVUgUnqqqtvYN6qzVxw2IjWC8teyesRLA8f++jdxuePHK5EIknS2oTEZpdsNbNzgLuA06IISlLboopt7NpTr/6RiEwpyuf5eWtpaHAyMow5y6vonZPJgfuof0SSo10NquFjc5O/7oV0SaXh8FSN2IrGlKJ8ttXWsaRyOxA8f+Sw0QXqH5Gkadf/eWbWp73HSvorXbmZof16sE//zln5Vj4tdmLixu21LK3czuGj1awlydPaExJvaGZzPnAm8OtIIpKUV7pik5q1IjSyoBcD++RQWl5Nv57ZgJ4/IsnVWmd704c+O8Gqv5e4ux5sJZ+xdvMu1m6p4StKJJExMw4dmc/cldX0ysmkV04mBw7rl+ywpBtrrbP9R4kKRNLD3JVaqDERphTl8/cP11Ozp57iUQVkq39Ekiiy//vM7D4zqzSzBTHbDja0r0hAAAAUB0lEQVSzWWY238xeMLO+4faLzWxezE+DmU1ups6bzWxNTLnpUcUv7VOyopqe2ZlagTZijYm6YksNh49Ws5YkV5RfYx7gs8OD7wFucvdJwLPAjQDu/qi7T3b3ycClwAp3nxen3tsby7r7ixHFLu00d2U1B4/op2/IETtwWD+yM4OpXZqIKMkW2b92d38TaLpM6QTgzfD1y8C5zRx6EcEaX5Jidu6uY+Halp8pLp2jR3bQL9IzO5ODhqt/RJKr1URiZoPMrHf4uqeZfd/MbjGzoe043wKCEV8A5wHNTX2+gJYTyTfM7IOw6SzuJ5aZXWNmJWZWsmHDhnaEKnvr/VVbqG9wJZIE+cYJY/ne9Im6+5Oka8v/gU8AjffOPyJ4Dkk18Fg7znclcK2ZlRKMCNsdu9PMDgd2uvuC5g4G7gT2BSYDFcAv453I3e9292J3Ly4sLGxHqLK3GjvaDx2pRJIIJ+03mEuPGJXsMERanUdyOcEH9/EWPCT6AuBWYDtQZGaXAfPc/YO2nMzdFwOnhnWPBz7fpMiFtHA34u7rY2L7PfDntpxXEqO0vJqxg/rQv1dOskMRkQRq7Y7kdYLnkCwC1gDrgRfC7VXh7/K2nszMBoW/M4AfEKzXRcy28wjugOIdH9uc9kWCpjLpAhoanNLyaqbobkSk22ltHkm5md1B8M0/G7jM3Vea2Uhgo7uvjHesmT0OHA8MNLPVwA8JVg6+NizyDHB/zCHHAqvdvaxJPfcAd7l7CXBrOCzYgRXAV9t8pRKpso3b2bJrD1NGKZGIdDetPizC3e80s4eBBnffGW6uIhhd1dJx8fbfEaf868C0ZrZfHfP60tbileRofD6GOtpFup82PXXI3bc3+XtHNOFIqipZUU1+r2zGDOyd7FBEJME0blA6RenKaqYU5ROMyRCR7kSJRDps047dlG3YoRV/RbopJRLpsLlh/0hxkdZ8EumOlEikw0pXVpOVYVqqQ6SbUiKRDistr+aAYf3okZ2Z7FBEJAnaNGpL0kP1jt2cc+dMqrbXtql8RobRIyuT3OwMemRl0iM7g9zw79zw7x7ZmcxbtZlLpxVFHL2IdFVKJN3Io3PKWb5xB5dMG0lWRus3o/UNTm1dPbV1DdTs+efvbTV1bKzbTW24bUDvHD53wJAEXIGIdEVKJN1EbV09D84q57jxhfzk7EnJDkdE0oj6SLqJF96vYMO2Wq46enSyQxGRNKNE0g24O/fOWM74wX04ZtzAZIcjImlGiaQbmLWsikUVW7n66DGaeS4inU6JpBu4Z8ZyBvbJ4czJ+yQ7FBFJQ0okaW5p5XZeXVzJpdNGaZ6HiERCiSTN3f/2cnKyMrh42shkhyIiaUqJJI1t2rGbp+eu5pxDhjGwT26ywxGRNKVEksYem1NOzZ4GrtSQXxGJkBJJmoqdgDh+cF6ywxGRNKZEkqYaJyBefYzuRkQkWkokaahxAuKEwXkcPVYTEEUkWkokaahxAuJVR4/WBEQRiVxkicTM7jOzSjNbELPtYDObZWbzzewFM+sbbh9lZrvMbF74c1ecOgvM7GUzWxL+1rNdm6EJiCKSSFHekTwAnNZk2z3ATe4+CXgWuDFm3zJ3nxz+fC1OnTcBr7j7OOCV8G+JoQmIIpJokSUSd38T2NRk8wTgzfD1y8C5e1ntWcCD4esHgbPbHWCaapyAeIkmIIpIgiS6j2QBcGb4+jxgRMy+0Wb2npm9YWbHxDl+sLtXAIS/B8U7kZldY2YlZlayYcOGzoi9y4udgDhAExBFJEESnUiuBK41s1IgD9gdbq8ARrr7IcANwGON/Sft5e53u3uxuxcXFhZ2KOhUoQmIIpIMCU0k7r7Y3U919ynA48CycHutu1eFr0vD7eObqWK9mQ0FCH9XJibyrk8TEEUkWRKaSMxsUPg7A/gBcFf4d6GZZYavxwDjgLJmqngeuDx8fTnwXNQxpwpNQBSRZIly+O/jwCxggpmtNrOrgIvM7GNgMbAWuD8sfizwgZm9DzwFfM3dN4X13GNmxWG5W4BTzGwJcEr4d7enCYgikkxZUVXs7hfF2XVHM2WfBp6OU8/VMa+rgJM6JcA00jgB8dZzD9IERBFJOM1sTwOPzlnJgN6agCgiyaFEkuJ27q7jlcXrmT5pqCYgikhSKJGkuFcXV1Kzp4HPHzQ02aGISDelRJLiXpxfwcA+uRw2qiDZoYhIN6VEksJ21Nbx6uJKpk8aQmaGOtlFJDmUSFJYY7PW9Elq1hKR5FEiSWEvzq+gME/NWiKSXEokKaqxWev0A9WsJSLJpUSSol5dXEltXQOfV7OWiCSZEkmK+ssHFQzKy6VYzVoikmRKJCloR20dr32kZi0R6RqUSFLQK43NWgdpSRQRST4lkhT0YmOzVlF+skMREVEiSTXbw2at6ZOGkqFmLRHpApRIUswri9ZTW6dJiCLSdSiRpJgX56tZS0S6FiWSFBI0a21Qs5aIdClKJCnklUXr2V2nJeNFpGtRIkkhf/mggsF9c5kyUs1aItJ1KJGkiO21dbz+8QZOP1DNWiLStUSWSMzsPjOrNLMFMdsONrNZZjbfzF4ws77h9lPMrDTcXmpmJ8ap82YzW2Nm88Kf6VHF39WoWUtEuqoo70geAE5rsu0e4CZ3nwQ8C9wYbt8InBFuvxx4uIV6b3f3yeHPi50cc5elZi0R6aoiSyTu/iawqcnmCcCb4euXgXPDsu+5+9pw+0Kgh5nlRhVbqtlWs0fNWiLSZSW6j2QBcGb4+jxgRDNlzgXec/faOHV8w8w+CJvO4n49N7NrzKzEzEo2bNjQsaiT7NXFleyua+ALatYSkS4o0YnkSuBaMysF8oDdsTvN7ADgZ8BX4xx/J7AvMBmoAH4Z70Tufre7F7t7cWFhYWfEnjR//qCCIX17cKiatUSkC0poInH3xe5+qrtPAR4HljXuM7PhBP0ml7n7sjjHr3f3endvAH4PTE1E3J2pesduPli9uc3lt9Xs4Y2PN3D6pCFq1hKRLimhicTMBoW/M4AfAHeFf/cH/gJ8193fbuH42LadLxI0laWU/3j6A8789dtcdPdsSsubdiF91iuLgmYtPQlRRLqqKIf/Pg7MAiaY2Wozuwq4yMw+BhYDa4H7w+LfAMYC/xkztLcx6dxjZsVhuVvDIcIfACcA10cVfxTWbN7FK4vWc8SYASyp3Ma5d87iy/e/w4I1W+Ieo2YtEenqsqKq2N0virPrjmbK/gT4SZx6ro55fWnnRJccj89ZiQM/P+8gCnrn8MDMFfzujTK+8KsZnH7gEK4/ZTzjB+d9Un5bzR7e/HgDF08bqWYtEemyIksk8mm76xp44t1VnDRxEMPzewHw9ePHcsm0Iu59azn3zljO3xau4+zJw7ju5HEUDejNPxatZ3e9RmuJSNemRJIgLy1cx8bttVw8rehT2/v2yOb6U8Zz+ZGj+N0by3hw1gqef38t5xcPZ/nGHQzp24NDRqhZS0S6LiWSBHlkdjkjCnpy3LjmhyIX9M7hu9P346qjR/Ob15by2Dsr2VPvXHnUaDVriUiXpkSSAEvWb2PO8k3cdPrEVpPCoL49+NFZB/KVY8fwdOkaLpza3JxNEZGuQ4kkAR6ZXU5OZgbnTRne5mOG5/fiWyePizAqEZHOoWXkI7ajto5n5q5h+qQhDOij5cNEJP0okUTsuXlr2VZbx6VHFLVeWEQkBSmRRMjdeWR2OROH5GlCoYikLSWSCL23ajMfVmzlkmlFmGnklYikJyWSCD0yq5w+uVmcfciwZIciIhIZJZKIVO/YzZ/nV/DFQ4bRJ1eD40QkfSmRROSPpavYXdfAJdPUyS4i6U2JJAINDc6jc1YydVQBE4bktX6AiEgKUyKJwFtLN1JetZOLp41MdigiIpFTIonAI7PLGdA7h9MOHJLsUEREIqdE0oKllduYuXTjXh3T+PCqCw4bQW5WZkSRiYh0HUokLfjNa8v4l3vmcP0f5rFxe22bjnnineDhVRdNVbOWiHQPSiQt+J9zJvHNE8fy5w/WcuIvXuexOStpaPC45RsfXnXChEGMKOiVwEhFRJJHiaQFPbIzueHUCfz1W8ey/z59+d6z8/nSXTNZVLG12fJ//3AdG7bVcqmG/IpIN6JE0gZjB/Xh8a9M47bzD2ZF1U6+8KsZ/PeLi9hRW/epco/MLmd4fk+OHd/8w6tERNKREkkbmRnnHDqcV799HOcXD+fuN8s45bY3ePnD9UDw8KrZZZv4l8NHkqknGopINxJpIjGz+8ys0swWxGw72Mxmmdl8M3vBzPrG7PuumS01s4/M7HNx6hxtZnPMbImZ/cHMcqK8hqb698rhf845iKe+dgR5PbL5ykMlfOWhEn716lJyMjM4v1hPNBSR7iXqO5IHgNOabLsHuMndJwHPAjcCmNn+wIXAAeExvzWz5sbP/gy43d3HAdXAVdGE3rLiUQX8+ZtHc9PpE3lryQaef38tp08awkA9vEpEuplIE4m7vwlsarJ5AvBm+Ppl4Nzw9VnAE+5e6+7LgaXA1NgDLViL/UTgqXDTg8DZEYTeJtmZGXztuH15+frjuPKo0Vx/8vhkhSIikjTJ6CNZAJwZvj4PaGwLGgasiim3OtwWawCw2d3rWigDgJldY2YlZlayYcOGTgk8nhEFvfivM/Zn1MDekZ5HRKQrSkYiuRK41sxKgTxgd7i9uR7qppM22lIm2Oh+t7sXu3txYaFGUYmIRCXhD8pw98XAqQBmNh74fLhrNf+8OwEYDqxtcvhGoL+ZZYV3Jc2VERGRBEr4HYmZDQp/ZwA/AO4Kdz0PXGhmuWY2GhgHvBN7rLs78BrwpXDT5cBziYhbRESaF/Xw38eBWcAEM1ttZlcBF5nZx8BigruJ+wHcfSHwJPAh8DfgWnevD+t50cz2Cav9DnCDmS0l6DO5N8prEBGRllnwJT+9FRcXe0lJSbLDEBFJKWZW6u7FrZXTzHYREekQJRIREekQJRIREemQbtFHYmYbgPJ2Hj6QYNhxOkm3a0q364H0u6Z0ux5Iv2tq7nqK3L3ViXjdIpF0hJmVtKWzKZWk2zWl2/VA+l1Tul0PpN81deR61LQlIiIdokQiIiIdokTSuruTHUAE0u2a0u16IP2uKd2uB9Lvmtp9PeojERGRDtEdiYiIdIgSiYiIdIgSSQvM7LTw+fFLzeymZMfTUWa2wszmm9k8M0vJxcfM7D4zqzSzBTHbCszsZTNbEv7OT2aMeyPO9dxsZmvC92memU1PZox7y8xGmNlrZrbIzBaa2bfC7Sn5PrVwPSn7PplZDzN7x8zeD6/pR+H20WY2J3yP/mBmOW2qT30kzQufF/8xcArBs1LeBS5y9w+TGlgHmNkKoNjdU3YSlZkdC2wHHnL3A8NttwKb3P2WMOHnu/t3khlnW8W5npuB7e7+i2TG1l5mNhQY6u5zzSwPKCV4JPYVpOD71ML1nE+Kvk/hY8t7u/t2M8sGZgDfAm4AnnH3J8zsLuB9d7+ztfp0RxLfVGCpu5e5+27gCYLnyksSufubwKYmm88CHgxfP0jwjzwlxLmelObuFe4+N3y9DVhE8EjslHyfWrielOWB7eGf2eGPAycCT4Xb2/weKZHE15ZnyKcaB/5uZqVmdk2yg+lEg929AoJ/9MCgJMfTGb5hZh+ETV8p0QTUHDMbBRwCzCEN3qcm1wMp/D6ZWaaZzQMqgZeBZcDm8OmzsBefeUok8bX5+fAp5Ch3PxQ4Hbg2bFaRrudOYF9gMlAB/DK54bSPmfUBngauc/etyY6no5q5npR+n9y93t0nEzyyfCqwX3PF2lKXEkl8bXmGfEpx97Xh70rgWYL/edLB+rAdu7E9uzLJ8XSIu68P/5E3AL8nBd+nsN39aeBRd38m3Jyy71Nz15MO7xOAu28GXgemAf3NLCvc1ebPPCWS+N4FxoWjGHKACwmeK5+SzKx32FGImfUGTgUWtHxUyngeuDx8fTnwXBJj6bDGD9vQF0mx9ynsyL0XWOTut8XsSsn3Kd71pPL7ZGaFZtY/fN0TOJmg7+c14EthsTa/Rxq11YJwON//ApnAfe7+0ySH1G5mNobgLgQgC3gsFa/HzB4HjidY8no98EPgT8CTwEhgJXCeu6dEB3ac6zmeoLnEgRXAVxv7FlKBmR0NvAXMBxrCzd8j6FdIufepheu5iBR9n8zsIILO9EyCG4on3f3H4efEE0AB8B5wibvXtlqfEomIiHSEmrZERKRDlEhERKRDlEhERKRDlEhERKRDlEhERKRDslovIiJ7w8zqCYaKZgN1BMMs/zecuCaSdpRIRDrfrnDpCcxsEPAY0I9gjohI2lHTlkiEwuVoriFY3M/MbJSZvWVmc8OfIwHM7GEz+2R1aTN71MzONLMDwudGzAsXBxyXrGsRiUcTEkU6mZltd/c+TbZVAxOBbUCDu9eESeFxdy82s+OA6939bDPrB8wDxgG3A7Pd/dFwqZ5Md9+V2CsSaZmatkQSo3E16Wzg12Y2GagHxgO4+xtm9puwKewc4Gl3rzOzWcD3zWw4wQOHliQjeJGWqGlLJGLh+kX1BKvdXk+wptbBQDEQ+yjTh4GLgS8D9wO4+2PAmcAu4CUzOzFxkYu0jRKJSITMrBC4C/i1B+3I/YCKcATXpQSL5jV6ALgOwN0XhsePAcrc/f8IVs89KHHRi7SNmrZEOl/P8MlzjcN/HwYalx//LfC0mZ1HsGT3jsaD3H29mS0iWM240QXAJWa2B1gH/DgB8YvsFXW2i3QRZtaLYP7Joe6+JdnxiLSVmrZEugAzOxlYDPxKSURSje5IRESkQ3RHIiIiHaJEIiIiHaJEIiIiHaJEIiIiHaJEIiIiHfL/AbWTS45CC+QyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot(stock_price)\n",
    "plt.title('Opening Stock Prices')\n",
    "plt.xlabel('Days')\n",
    "plt.ylabel('$ USD')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = list(range(1, 31))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x9177860>,\n",
       "  <matplotlib.axis.XTick at 0x9177128>,\n",
       "  <matplotlib.axis.XTick at 0x9178e10>,\n",
       "  <matplotlib.axis.XTick at 0x91896a0>,\n",
       "  <matplotlib.axis.XTick at 0x9189b38>],\n",
       " <a list of 5 Text xticklabel objects>)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t, stock_price, marker='.', color='red')\n",
    "plt.xticks([1, 8, 15, 22, 28]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "stock_price = [190.64, 190.09, 192.25, 191.79, 194.45, 196.45, 196.45, 196.42, 200.32, 200.32, 200.85, 199.2, 199.2, 199.2, 199.46, 201.46, 197.54, 201.12, 203.12, 203.12, 203.12, 202.83, 202.83, 203.36, 206.83, 204.9, 204.9, 204.9, 204.4, 204.06]\n",
    "\n",
    "t = list(range(1, 31))\n",
    "\n",
    "plt.title('Opening Stock Prices')\n",
    "plt.xlabel('Days')\n",
    "plt.ylabel('$ USD')\n",
    "\n",
    "plt.plot(t, stock_price, marker='.', color='red')\n",
    "plt.xticks([1, 8, 15, 22, 28]) \n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
